291 citations · 392 across the 4 of their papers we have counts for
5 papers
Minimizing Energy Consumption in MU-MIMO via Antenna Muting by Neural Networks with Asymmetric Loss
Nuwanthika Rajapaksha, Jafar Mohammadi, Stefan Wesemann +2
Transmit antenna muting (TAM) in multiple-user multiple-input multiple-output (MU-MIMO) networks allows reducing the power consumption of the base station (BS) by properly utilizin…
Deep Learning-based Power Control for Cell-Free Massive MIMO Networks
Nuwanthika Rajapaksha, K. B. Shashika Manosha, Nandana Rajatheva +1
A deep learning (DL)-based power control algorithm that solves the max-min user fairness problem in a cell-free massive multiple-input multiple-output (MIMO) system is proposed. Ma…
Scoring the Terabit/s Goal:Broadband Connectivity in 6G
Nandana Rajatheva, Italo Atzeni, Simon Bicais +26
This paper explores the road to vastly improving the broadband connectivity in future 6G wireless systems. Different categories of use cases are considered, with peak data rates up…
White Paper on Broadband Connectivity in 6G
Nandana Rajatheva, Italo Atzeni, Emil Bjornson +22
This white paper explores the road to implementing broadband connectivity in future 6G wireless systems. Different categories of use cases are considered, from extreme capacity wit…
Low Complexity Autoencoder based End-to-End Learning of Coded Communications Systems
Nuwanthika Rajapaksha, Nandana Rajatheva, Matti Latva-aho
End-to-end learning of a communications system using the deep learning-based autoencoder concept has drawn interest in recent research due to its simplicity, flexibility and its po…